Matches in SemOpenAlex for { <https://semopenalex.org/work/W1771164022> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W1771164022 endingPage "598" @default.
- W1771164022 startingPage "588" @default.
- W1771164022 abstract "In the analysis of competing risks data, the cumulative incidence function is a useful quantity to characterize the crude risk of failure from a specific event type. In this article, we consider an efficient semiparametric analysis of mixture component models on cumulative incidence functions. Under the proposed mixture model, latency survival regressions given the event type are performed through a class of semiparametric models that encompasses the proportional hazards model and the proportional odds model, allowing for time-dependent covariates. The marginal proportions of the occurrences of cause-specific events are assessed by a multinomial logistic model. Our mixture modeling approach is advantageous in that it makes a joint estimation of model parameters associated with all competing risks under consideration, satisfying the constraint that the cumulative probability of failing from any cause adds up to one given any covariates. We develop a novel maximum likelihood scheme based on semiparametric regression analysis that facilitates efficient and reliable estimation. Statistical inferences can be conveniently made from the inverse of the observed information matrix. We establish the consistency and asymptotic normality of the proposed estimators. We validate small sample properties with simulations and demonstrate the methodology with a data set from a study of follicular lymphoma." @default.
- W1771164022 created "2016-06-24" @default.
- W1771164022 creator A5012317777 @default.
- W1771164022 creator A5057822243 @default.
- W1771164022 date "2014-04-15" @default.
- W1771164022 modified "2023-10-05" @default.
- W1771164022 title "Maximum likelihood estimation of semiparametric mixture component models for competing risks data" @default.
- W1771164022 cites W1984130041 @default.
- W1771164022 cites W1988192285 @default.
- W1771164022 cites W1999162673 @default.
- W1771164022 cites W2007022861 @default.
- W1771164022 cites W2030178389 @default.
- W1771164022 cites W2038981426 @default.
- W1771164022 cites W2073140442 @default.
- W1771164022 cites W2089322099 @default.
- W1771164022 cites W2090293982 @default.
- W1771164022 cites W2113283861 @default.
- W1771164022 cites W2115088843 @default.
- W1771164022 cites W2131659097 @default.
- W1771164022 cites W2152241768 @default.
- W1771164022 cites W2152381850 @default.
- W1771164022 cites W2165064053 @default.
- W1771164022 cites W2518539007 @default.
- W1771164022 cites W2977606681 @default.
- W1771164022 cites W4232538195 @default.
- W1771164022 doi "https://doi.org/10.1111/biom.12167" @default.
- W1771164022 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24734912" @default.
- W1771164022 hasPublicationYear "2014" @default.
- W1771164022 type Work @default.
- W1771164022 sameAs 1771164022 @default.
- W1771164022 citedByCount "12" @default.
- W1771164022 countsByYear W17711640222015 @default.
- W1771164022 countsByYear W17711640222017 @default.
- W1771164022 countsByYear W17711640222018 @default.
- W1771164022 countsByYear W17711640222019 @default.
- W1771164022 countsByYear W17711640222020 @default.
- W1771164022 countsByYear W17711640222021 @default.
- W1771164022 countsByYear W17711640222022 @default.
- W1771164022 crossrefType "journal-article" @default.
- W1771164022 hasAuthorship W1771164022A5012317777 @default.
- W1771164022 hasAuthorship W1771164022A5057822243 @default.
- W1771164022 hasConcept C105795698 @default.
- W1771164022 hasConcept C119043178 @default.
- W1771164022 hasConcept C137668524 @default.
- W1771164022 hasConcept C149782125 @default.
- W1771164022 hasConcept C152877465 @default.
- W1771164022 hasConcept C167928553 @default.
- W1771164022 hasConcept C185429906 @default.
- W1771164022 hasConcept C19539793 @default.
- W1771164022 hasConcept C197656967 @default.
- W1771164022 hasConcept C33923547 @default.
- W1771164022 hasConcept C41008148 @default.
- W1771164022 hasConcept C61224824 @default.
- W1771164022 hasConcept C78297888 @default.
- W1771164022 hasConcept C89106044 @default.
- W1771164022 hasConceptScore W1771164022C105795698 @default.
- W1771164022 hasConceptScore W1771164022C119043178 @default.
- W1771164022 hasConceptScore W1771164022C137668524 @default.
- W1771164022 hasConceptScore W1771164022C149782125 @default.
- W1771164022 hasConceptScore W1771164022C152877465 @default.
- W1771164022 hasConceptScore W1771164022C167928553 @default.
- W1771164022 hasConceptScore W1771164022C185429906 @default.
- W1771164022 hasConceptScore W1771164022C19539793 @default.
- W1771164022 hasConceptScore W1771164022C197656967 @default.
- W1771164022 hasConceptScore W1771164022C33923547 @default.
- W1771164022 hasConceptScore W1771164022C41008148 @default.
- W1771164022 hasConceptScore W1771164022C61224824 @default.
- W1771164022 hasConceptScore W1771164022C78297888 @default.
- W1771164022 hasConceptScore W1771164022C89106044 @default.
- W1771164022 hasIssue "3" @default.
- W1771164022 hasLocation W17711640221 @default.
- W1771164022 hasLocation W17711640222 @default.
- W1771164022 hasOpenAccess W1771164022 @default.
- W1771164022 hasPrimaryLocation W17711640221 @default.
- W1771164022 hasRelatedWork W124178357 @default.
- W1771164022 hasRelatedWork W1771164022 @default.
- W1771164022 hasRelatedWork W1986982313 @default.
- W1771164022 hasRelatedWork W1987495033 @default.
- W1771164022 hasRelatedWork W2001200375 @default.
- W1771164022 hasRelatedWork W2088482394 @default.
- W1771164022 hasRelatedWork W2136878560 @default.
- W1771164022 hasRelatedWork W2138378948 @default.
- W1771164022 hasRelatedWork W2485275464 @default.
- W1771164022 hasRelatedWork W2883221993 @default.
- W1771164022 hasVolume "70" @default.
- W1771164022 isParatext "false" @default.
- W1771164022 isRetracted "false" @default.
- W1771164022 magId "1771164022" @default.
- W1771164022 workType "article" @default.